Reese, Stefanie
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2

A physics-informed deep learning framework for modeling of ..:

Shi, Jianye ; Manjunatha, Kiran ; Behr, Marek..
Biomechanics and Modeling in Mechanobiology.  23 (2024)  2 - p. 615-629 , 2024
 
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3

Theory and implementation of inelastic Constitutive Artific..:

Holthusen, Hagen ; Lamm, Lukas ; Brepols, Tim..
Computer Methods in Applied Mechanics and Engineering.  428 (2024)  - p. 117063 , 2024
 
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4

A thermo-mechanically coupled constitutive model for semi-c..:

Reuvers, Marie-Christine ; Kulkarni, Sameer ; Boes, Birte...
Continuum Mechanics and Thermodynamics.  36 (2024)  3 - p. 657-698 , 2024
 
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5

A new approach to construction: using peltate leaves as ins..:

, In: Bionik: Patente aus der Natur / Hrsg.: Antonia B. Kesel, Birte S. Löffler (Bionik-Innovations-Centrum Bremen) ; GTBB - Gesellschaft für Technische Biologie und Bionik e.V., B-I-C - Bionik-Innovations-Centrum (Hochschule Bremen/City University of Applied Science), BIOKON - Bionik Kompetenz Netz
Rjosk, Annabell ; Ritzert, Stephan ; Macek, Domen.... (2023)  - p. 54-64
 
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7

Mixed formulation of physics‐informed neural networks for t..:

Harandi, Ali ; Moeineddin, Ahmad ; Kaliske, Michael..
International Journal for Numerical Methods in Engineering.  125 (2023)  4 - p. , 2023
 
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11

A novel continuum mechanical framework for decoupled materi..:

Boes, Birte ; Simon, Jaan-Willem ; Reese, Stefanie.
Computer Methods in Applied Mechanics and Engineering.  415 (2023)  - p. 116192 , 2023
 
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14

Inelastic material formulations based on a co-rotated inter..:

Holthusen, Hagen ; Rothkranz, Christiane ; Lamm, Lukas..
Journal of the Mechanics and Physics of Solids.  172 (2023)  - p. 105174 , 2023
 
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